THE ADVANCED ANALYTICS JUMPSTART: DEFINITION, PROCESS MODEL, BEST PRACTICES

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Autor principal: Jeremy Rose
Formato: Artículo científico
Lenguaje:en
Publicado: Universidade de São Paulo 2017
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author Jeremy Rose
author_facet Jeremy Rose
contents THE ADVANCED ANALYTICS JUMPSTART: DEFINITION, PROCESS MODEL, BEST PRACTICES Jeremy Rose Mikael Berndtsson Gunnar Mathiason Peter Larsson Ingeniería big data case study best practice Advanced analytics Companies are encouraged by the big data trend to experiment with advanced analytics and many turn to specialist consultancies to help them get started where they lack the necessary competences. We investigate the program of one such consultancy, Advectas in particular the advanced analytics Jumpstart. Using qualitative techniques including semi structured interviews and content analysis we investigate the nature and value of the Jumpstart concept through five cases in different companies. We provide a definition, a process model and a set of thirteen best practices derived from these experiences, and discuss the distinctive qualities of this approach. 2017 artículo científico 1807-1775 https://www.redalyc.org/articulo.oa?id=203254259003 https://www.redalyc.org/journal/2032/203254259003/ https://www.redalyc.org/journal/2032/203254259003/html/ https://www.redalyc.org/journal/2032/203254259003/203254259003.epub https://www.redalyc.org/journal/2032/203254259003/movil en http://www.redalyc.org/revista.oa?id=2032 JISTEM: Journal of Information Systems and Technology Management application/pdf Universidade de São Paulo JISTEM: Journal of Information Systems and Technology Management (Brasil) Num.3 Vol.14
format Artículo científico
id redalyc_203254259003
institution Redalyc
language en
publishDate 2017
publisher Universidade de São Paulo
spellingShingle THE ADVANCED ANALYTICS JUMPSTART: DEFINITION, PROCESS MODEL, BEST PRACTICES
Jeremy Rose
Ingeniería
big data
case study
best practice
Advanced analytics
THE ADVANCED ANALYTICS JUMPSTART: DEFINITION, PROCESS MODEL, BEST PRACTICES Jeremy Rose Mikael Berndtsson Gunnar Mathiason Peter Larsson Ingeniería big data case study best practice Advanced analytics Companies are encouraged by the big data trend to experiment with advanced analytics and many turn to specialist consultancies to help them get started where they lack the necessary competences. We investigate the program of one such consultancy, Advectas in particular the advanced analytics Jumpstart. Using qualitative techniques including semi structured interviews and content analysis we investigate the nature and value of the Jumpstart concept through five cases in different companies. We provide a definition, a process model and a set of thirteen best practices derived from these experiences, and discuss the distinctive qualities of this approach. 2017 artículo científico 1807-1775 https://www.redalyc.org/articulo.oa?id=203254259003 https://www.redalyc.org/journal/2032/203254259003/ https://www.redalyc.org/journal/2032/203254259003/html/ https://www.redalyc.org/journal/2032/203254259003/203254259003.epub https://www.redalyc.org/journal/2032/203254259003/movil en http://www.redalyc.org/revista.oa?id=2032 JISTEM: Journal of Information Systems and Technology Management application/pdf Universidade de São Paulo JISTEM: Journal of Information Systems and Technology Management (Brasil) Num.3 Vol.14
title THE ADVANCED ANALYTICS JUMPSTART: DEFINITION, PROCESS MODEL, BEST PRACTICES
topic Ingeniería
big data
case study
best practice
Advanced analytics
url https://www.redalyc.org/articulo.oa?id=203254259003
https://www.redalyc.org/journal/2032/203254259003/
https://www.redalyc.org/journal/2032/203254259003/html/
https://www.redalyc.org/journal/2032/203254259003/203254259003.epub
https://www.redalyc.org/journal/2032/203254259003/movil